Smart City Gnosys

Smart city article details

Title Impact Of Digital Technology-Urban Form Interaction On Pm2.5; [数字技术-城市形态交互作用对城市 Pm2.5 的影响]
ID_Doc 30342
Authors Zhao J.; Chen L.; Yang J.; Kang T.; Guan X.; Li Z.
Year 2025
Published Research of Environmental Sciences, 38, 6
DOI http://dx.doi.org/10.13198/j.issn.1001-6929.2025.04.26
Abstract As an emerging technology for urban social development and upgrading, digital technology has been extensively integrated into industrial structure optimization and smart city construction. Existing studies have ignored the synergistic effects between digital technology and urban spatial morphology, and the impact of their complex interactions on PM2.5 emissions is still unclear. Using panel data from 272 cities in China from 2005 to 2020, this study employs the Optimal Parameters-based Geographical Detector method to investigate the individual and interactive effects of digital technology and urban spatial morphology on PM2.5 emissions. The results demonstrate that: (1) In the socio-economic dimension, digital technology and population density are core drivers of PM2.5 emissions, with digital technology exhibiting an inverted 'U'-shaped nonlinear relationship with emissions. In terms of urban morphology, the impact of urban centrality and shape complexity (PC3) is the most significant, where single-center layout and complex patch morphology exacerbate PM2.5 emissions. (2) All interactive effects between digital technology and urban morphology surpass the impact of individual factors. Specifically, the interaction effects between digital technology and urban compactness-connectivity (PC1) are enhanced by 3.20%-24.76% compared to the individual factor superposition intensity, while those with size-connectivity (PC4) show a 10.95%-44.80% enhancement. The interaction between digital technology and centrality-shape complexity (PC3) increased by 6.08%-8.46% from 2005 to 2015 compared to the superposition intensity, but declined by 0.16% in 2020, revealing the potential for coordinated PM2.5 governance through digital technology and complex urban morphology. (3) The independent emission reduction effect of digital technology is easily weakened by the 'technology-space' synergy contradiction. Although digital technology independently suppresses PM2.5 emissions, its interactions with factors such as GDP growth, urban centrality, and shape complexity diminish the mitigation benefits. We recommend transcending single-factor governance frameworks to establish a 'technology empowerment-spatial adaptation' collaborative pathway, optimizing urban spatial planning through digital technology to achieve the synergistic enhancement of environmental governance and spatial optimization. © 2025 Editorial Board, Research of Environmental Sciences. All rights reserved.
Author Keywords digital technologies; interaction effects; optimal geodetector; PM<sub>2.5</sub>; urban form


Similar Articles


Id Similarity Authors Title Published
55699 View0.905Xu W.; Zhou J.; Liu C.The Impact Of Digital Economy On Urban Carbon Emissions: Based On The Analysis Of Spatial EffectsDili Yanjiu, 41, 1 (2022)
21046 View0.894Jiang B.; Ding L.; Fang X.; Zhang Q.; Hua Y.Driving Impact And Spatial Effect Of The Digital Economy Development On Carbon Emissions In Typical Cities: A Case Study Of Zhejiang, ChinaEnvironmental Science and Pollution Research, 30, 48 (2023)
20343 View0.893Yang Z.; Gao W.; Han Q.; Qi L.; Cui Y.; Chen Y.Digitalization And Carbon Emissions: How Does Digital City Construction Affect China'S Carbon Emission Reduction?Sustainable Cities and Society, 87 (2022)
52444 View0.891Tan J.; Chen L.Spatial Effect Of Digital Economy On Particulate Matter 2.5 In The Process Of Smart Cities: Evidence From Prefecture-Level Cities In ChinaInternational Journal of Environmental Research and Public Health, 19, 21 (2022)
55739 View0.888Wang Y.; An Q.; Xie Q.; Wang R.The Impact Of New Digital Infrastructures On Urban Carbon Emissions-An Empirical Study From Chinese CitiesFrontiers in Environmental Science, 12 (2024)
56189 View0.885Wang C.; Lu W.; Yin X.; Wang W.; Miao M.The Path To Green Cities: Digital Infrastructure Construction And Urban Ecological EfficiencyPolish Journal of Environmental Studies, 34, 5 (2025)
42338 View0.882Ding Y.; Luo Q.Polycentric Spatial Structure, Digital Economy And Urban Green Sustainable DevelopmentJournal of Cleaner Production, 468 (2024)
30340 View0.881Xu L.-M.; Zhang Y.Impact Of Digital Economy Development On Urban Carbon Emissions——An Empirical Analysis Based On Yangtze River Delta Urban Agglomeration; [数字经济发展对城市碳排放的影响研究———基于长三角城市群的实证分析]Resources and Environment in the Yangtze Basin, 34, 6 (2025)
13283 View0.88Liu H.; Wang L.; Shen Y.Can Digital Technology Reduce Carbon Emissions? Evidence From Chinese CitiesFrontiers in Ecology and Evolution, 11 (2023)
44210 View0.877Yang P.-L.; Lin Z.-H.; Zhu Z.-N.; Ying F.-W.Re-Evaluating The Impact And Mechanism Of Digital Economy On Regional Pollution Intensity From The Perspective Of Spatial SpilloverEnvironmental Science and Pollution Research, 31, 6 (2024)